This paper presents a methodology for the Synthesis of PARallel multi-Threaded Accelerators (SPARTA) from OpenMP annotated C/C++ specifications. SPARTA extends an open-source HLS tool, enabling the generation of accelerators that provide latency tolerance ...

For Hamiltonian systems with non-canonical structure matrices, a new family of fourth-order energy-preserving integrators is presented. The integrators take a form of a combination of Runge–Kutta methods and continuous-stage Runge–Kutta methods ...

Graph Neural Network (GNN) has emerged as an important workload for learning on graphs. With the size of graph data and the complexity of GNN model architectures increasing, developing an efficient GNN system grows more important. As GNN has heavy neural ...

This paper presents a scalable page cache called ScaleCache for improving SSD scalability. Specifically, we first propose a concurrent data structure of page cache based on XArray (ccXArray) to enable access and update the page cache concurrently. Second,...

The emergence of Large Language Models(LLM) and generative AI has led to an explosive increase in computational demands across cloud computing data centers. The growing number of parameters in deep learning models results in significant power consumption ...

Cloud computing for high performance computing resources is an emerging topic. This service is of interest to researchers who care about reproducible computing, for software packages with complex installations, and for companies or researchers who ...

An important aspect of building robust systems that execute on dedicated hardware and perhaps in constrained environments is to control and manage the effects performed by program code.

We present ReML, a higher-order statically-typed functional ...

Parallelization is a promising way to improve the performance of Python programs. Unfortunately, developers may miss parallelization possibilities, because they usually do not concentrate on parallelization. Many approaches have been proposed to ...

This paper discusses the implementation of parallelism on the A* algorithm, using both the central processing unit and the graphics processing unit, in order to increase its efficiency in terms of the necessary time to solve Sliding Puzzle problems. The ...

Virtualization techniques are becoming increasingly prevalent and are driving trends in hardware development to offer parallelization support for multi-tasking. Existing works on hardware designs of the Advanced Encryption Standard (AES) and SM4 ...

In most blockchains, miners execute transactions sequentially, while validators reproduce the execution to validate its results. Although simple, this approach does not exploit modern multi-core resources efficiently, thus limiting performance and ...

In the field of data mining, high utility itemset mining (HUIM) is a relevant mining task, with the aim of analyzing customer transaction databases. HUIM consists of exploiting the set of items that are often purchased together and ...

• Parallelism is applied at many parts of the algorithm to improve mining performance.

Recently, an increase in code performance has been obtained mainly through parallelism. For codes that implement stencil schemes, parallel processing requires data-intensive exchange. When parallel threads need to communicate, memory bandwidth ...

In the last years, there has been a significant increment in the quantity of data available and computational resources. This leads scientific and industry communities to pursue more accurate and efficient Machine Learning (ML) models. Random ...

This paper introduces a conjugate gradients (CG) acceleration of the coordinate descent algorithm (CD) for linear systems. It is shown that the Kaczmarz algorithm (KACZ) can simulate CD exactly, so CD can be accelerated by CG similarly to the CG ...

Deep Learning (DL) is pervasive across a wide variety of domains. Convolutional Neural Networks (CNNs) are often used for image processing DL applications. Modern CNN models are growing to meet the needs of more sophisticated tasks, e.g. using ...

Abstract-Achieving high solution efficiency on conventional sequential computation architecture is a challenging task due to penetration of multiple renewable energy sources (RESs). This challenge has become the bottleneck for the application in ...$$$$$$

Region inference is a type-based program analysis that takes a non-annotated program as input and constructs a program that explicitly manages memory allocation and deallocation by dividing the heap into a stack of regions, each of which can grow and ...

• Bidirectional barrel shifter replaces the two barrel shifters in conventional FP adder.

The barrel shifter is an indispensable floating-point (FP) adder circuit. It performs the alignment on the mantissa of the smallest FP number and also normalizes the added mantissa in a conventional FP adder. Alignment and ...

The Cumulative constraint is one of the most important global constraints, as it naturally arises in a variety of problems related to scheduling with limited resources. Devising fast propagation algorithms that run at every node of the search tree ...